How We Use It
Google Gemini is the AI model we use when deep integration with Google Workspace is required, or when multimodal capabilities — processing images, documents, and structured data together — give a clear advantage. Gemini's grounding in Google Search data makes it particularly strong for tasks that benefit from current, real-world knowledge, and its native integration with Gmail, Drive, Docs, and Sheets means we can build AI workflows directly inside the tools many businesses already live in.
Google Workspace AI Automation
We use Gemini to build AI workflows inside Google Workspace — automatically drafting responses in Gmail, summarising documents in Drive, extracting data from Sheets, and generating reports in Docs. For businesses already running on Google, this means AI that lives where the work happens.
Multimodal Document Processing
Gemini processes text, images, PDFs, and structured data simultaneously. We use this to build document intelligence tools that read contracts, extract key terms, cross-reference data tables, and summarise findings — without needing to pre-process content into a specific format.
Grounded Search Intelligence
Gemini can ground its responses in real-time Google Search data, making it reliable for tasks requiring current information — market research, company lookups, news monitoring, and competitive intelligence. We use this in CRM enrichment workflows where accuracy and recency matter.
Gemini for BigQuery & Analytics
For data-heavy clients, we use Gemini integrated with Google BigQuery to enable natural language querying of large datasets. Business users can ask questions in plain English and get accurate, data-grounded answers — without writing SQL or waiting for a data team.
Long Context & Large File Processing
Gemini 1.5 Pro's 1 million token context window is the largest available, making it uniquely suited for processing entire codebases, lengthy contracts, large CRM data exports, or long meeting transcripts in a single pass — with coherent, accurate output throughout.
Agent & Function Calling
We use Gemini's function-calling and code execution capabilities to build agents that can take actions — querying databases, calling APIs, running calculations, and updating CRM records — based on natural language instructions from business users.
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Other Technologies We Use
AI Implementation
Talk to our AI specialists about how Gemini can be integrated into your business — from quick wins to full deployment.